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Prerequisites Before you begin, create an account and get your API Key.

Getting started

Connect to Jira to manage issues, projects, sprints, and automate development workflows through AI agents.
  • API
  • UI
  • Open Source
1

Install the SDKs (optional)

pip install klavis
2

Create a Strata MCP Server with Jira

from klavis import Klavis
from klavis.types import McpServerName

klavis_client = Klavis(api_key="YOUR_API_KEY")

response = klavis_client.mcp_server.create_strata_server(
    servers=[McpServerName.JIRA],
    user_id="user123"
)

API Reference

Full Strata API endpoints
3

Authenticate

import webbrowser

# Open OAuth authorization page
webbrowser.open(response.oauth_urls[McpServerName.JIRA])
🎉 Your Jira MCP Server is ready! Once authentication is complete, you can use your MCP server URL with any MCP-compatible client.

Available Tools

Tool NameDescription
jira_searchSearch Jira issues using JQL (Jira Query Language)
jira_get_issueGet details of a specific Jira issue including its Epic links and relationship information
jira_search_fieldsSearch Jira fields by keyword with fuzzy match
jira_get_project_issuesGet all issues for a specific Jira project
jira_get_epic_issuesGet all issues linked to a specific epic
jira_get_sprints_from_boardGet jira sprints from board by state
jira_create_sprintCreate Jira sprint for a board
jira_get_sprint_issuesGet jira issues from sprint
jira_update_sprintUpdate jira sprint
jira_create_issueCreate a new Jira issue with optional Epic link or parent for subtasks
jira_update_issueUpdate an existing Jira issue including changing status, adding Epic links, updating fields, etc.
jira_delete_issueDelete an existing Jira issue
jira_add_commentAdd a comment to a Jira issue
jira_get_link_typesGet all available issue link types
For more details about tool input schema, use the get_tools API.

Next Steps

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